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Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
by
Rebmann, Vera
, Zidi, Ines
, Layeb, Safa Bhar
in
Adenocarcinoma
/ Artificial Intelligence
/ cancer
/ Cancer therapies
/ Cell death
/ clinical data
/ Clinical decision making
/ Computer Science
/ Conflicts of interest
/ data science
/ Decision making
/ Editing
/ Esophagus
/ Gene expression
/ Genes
/ Genomics
/ Immunotherapy
/ Invasiveness
/ Life Sciences
/ Machine learning
/ Medical prognosis
/ Patients
/ prediction
/ Prediction models
/ Squamous cell carcinoma
/ Survival analysis
/ systemic analysis
/ Tomography
/ Ultrasonic imaging
/ Writing
2025
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Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
by
Rebmann, Vera
, Zidi, Ines
, Layeb, Safa Bhar
in
Adenocarcinoma
/ Artificial Intelligence
/ cancer
/ Cancer therapies
/ Cell death
/ clinical data
/ Clinical decision making
/ Computer Science
/ Conflicts of interest
/ data science
/ Decision making
/ Editing
/ Esophagus
/ Gene expression
/ Genes
/ Genomics
/ Immunotherapy
/ Invasiveness
/ Life Sciences
/ Machine learning
/ Medical prognosis
/ Patients
/ prediction
/ Prediction models
/ Squamous cell carcinoma
/ Survival analysis
/ systemic analysis
/ Tomography
/ Ultrasonic imaging
/ Writing
2025
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Do you wish to request the book?
Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
by
Rebmann, Vera
, Zidi, Ines
, Layeb, Safa Bhar
in
Adenocarcinoma
/ Artificial Intelligence
/ cancer
/ Cancer therapies
/ Cell death
/ clinical data
/ Clinical decision making
/ Computer Science
/ Conflicts of interest
/ data science
/ Decision making
/ Editing
/ Esophagus
/ Gene expression
/ Genes
/ Genomics
/ Immunotherapy
/ Invasiveness
/ Life Sciences
/ Machine learning
/ Medical prognosis
/ Patients
/ prediction
/ Prediction models
/ Squamous cell carcinoma
/ Survival analysis
/ systemic analysis
/ Tomography
/ Ultrasonic imaging
/ Writing
2025
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Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
Journal Article
Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
2025
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The aim of different strategies is to precisely define which patients have a poor prognosis and to be able to easily guide them to other options using a cartesian scientific approach.Wang et al.for example, proposed a prognostic prediction model based on differential gene expression between muscle invasive bladder cancer (BLC) and non-muscle invasive BLC. [...]Wang et al.computed an optimal predictive model disulfidptosis score (DS) in patients with lung adenocarcinoma. [...]Liang et al.investigated the predictive value of disulfidptosis-related genes in breast cancer (BC) and their relationship with TME.
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